Margarida Barreto has spent over 20 years moving through every layer of design fashion, illustration, branding, UX, and now AI-integrated creative direction. In this episode, she brings a practitioner's clarity to one of the most misunderstood shifts in the design profession: AI hasn't removed the designer's job. It has relocated the most important part of it.

She draws a clean line between how AI accelerates visualization, research, iteration, mockups, and what it cannot replace: the judgment of what deserves to exist, why a brand matters, and what a client actually needs beneath what they say they want. For Margarida, the time AI frees up doesn't disappear. It moves into deeper thinking, more considered client relationships, and the kind of creative decisions machines can analyze but never feel.

Margarida admits she was fooled by an AI-generated video of a dancing parrot. Not a cautionary tale about technology, but an honest reckoning: even experts operate with blind spots, and transparency about that is what actually builds trust. She closes with a quiet provocation that as AI saturates our feeds with content that looks alike and means nothing, the things that will hold the most value are the ones that can still answer the question: why does this exist?

Key Themes:

• Human judgment in AI workflows.
• Design process evolution.
• Trust and transparency in AI-generated content
• Creator burnout and tool overwhelm
• IP and terms of service literacy
• The future of meaningful creative work

Key Takeaways:

• AI accelerates visualization but not judgment — the designer's role is shifting from operator to decision-maker
• Tool overwhelm is real; use aggregator platforms and master a few tools deeply rather than chasing every release
• Never delegate branding or logo work fully to AI — use it for brainstorming and mood-boarding, not final execution
• Transparency about AI use should come at the beginning of content, not buried at the end
• Reading terms and conditions matters use AI itself to summarize them and flag IP red flags
• What becomes rare and therefore valuable: human interaction, intentional stories, and work that can answer why

In this episode, I speak with Arthur Machado who is an AI director and AI artist based in Christchurch, New Zealand, originally from São Paulo, Brazil. With over two decades in advertising and film production, he made a deliberate pivot to work full-time at the intersection of AI and filmmaking. In this conversation, Arthur walks us through how he went from advertising producer to AI director, why he believes deep domain knowledge is the irreducible edge in an AI-powered world, and what it really means to develop taste as a creative.

What starts as a conversation about tools quickly becomes something much deeper a meditation on identity, style, the tension between preserving what you love and embracing what's coming, and why the people most afraid of AI disruption may be the ones who never fully invested in their craft. Arthur also shares a candid moment about why AI gave him the courage to finally become a director, something he'd always wanted but never trusted himself enough to pursue.

Key Themes

• Foundational knowledge as the non-negotiable edge in AI-assisted creative work
• The gap between fascination with outputs and the ability to assess and direct them
• Identity, style, and what it means to communicate through lived experience
• AI as a tool for lowering the barrier to experimentation and failure
• The disruption of advertising vs. entertainment — and why they're different problems
• What it feels like to want to protect an industry while being at the frontier of changing it

Key Takeaways

• "You can't direct what you don't know" having the vocabulary of your industry is what separates someone who uses AI from someone who directs it
• Technical knowledge gets solved by AI over time; foundational knowledge stays valuable forever
• AI didn't change Arthur's identity — it added to it. The tension he managed was between wanting to evolve and not wanting to lose what he'd built
• If a job can be replaced by someone with no real craft knowledge using AI, that's a signal about the depth of value being delivered — not just a statement about AI
• Start small: don't ask AI for a whole film or a whole idea. Ask it to help with one small step you already take. That's where trust gets built
• The blank chat window problem — most people aren't afraid of AI, they're afraid of being judged by it. Once they have one real experience, it changes everything

🔗 Connect with Arthur Machado on LinkedIn: https://www.linkedin.com/in/arthurmachado1/

In this episode, I speak with Karissa Clampit we explore how many people freeze when they approach AI because they feel like they have to “be good at it.” They want perfect outputs immediately. They treat AI like an exam instead of a sandbox.

Karissa shares how removing the performance mindset changes everything. Clicking around. Testing. Following strange ideas. Letting outputs surprise you. One of the deeper tensions in this episode:

The pressure to be productive with AI may actually be slowing people down. If curiosity becomes performance, experimentation dies.

Key Themes We Explore

• Why curiosity feels intellectual but is actually playful
• How performance anxiety blocks creative exploration
• The difference between learning through pressure vs learning through play
• How AI becomes more accessible when ego steps aside

Key Takeaways

• Curiosity is a mode of engagement, not a credential
• Confidence grows from interaction, not theory
• The people who move fastest with AI aren’t always the most technical, they’re the most willing to explore

In a culture obsessed with productivity metrics, curiosity as play feels almost irresponsible. But in practice, it accelerates learning.